Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions
type: Item
instance of: scholarly article
title: Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions
zbMATH Open document ID: 1423.92189
DOI: 10.1155/2014/470786
author: Yiyao Ye-Lin
author: Javier Garcia-Casado
author: Gema Prats-Boluda
author: José Alberola-Rubio
author: Alfredo Perales
published in: Computational \& Mathematical Methods in Medicine
publication date: 2015-03-16T00:00:00Z
review text: Summary: Electrohysterography (EHG) is a noninvasive technique for monitoring uterine electrical activity. However, the presence of artifacts in the EHG signal may give rise to erroneous interpretations and make it difficult to extract useful information from these recordings. The aim of this work was to develop an automatic system of segmenting EHG recordings that distinguishes between uterine contractions and artifacts. Firstly, the segmentation is performed using an algorithm that generates the TOCO-like signal derived from the EHG and detects windows with significant changes in amplitude. After that, these segments are classified in two groups: artifacted and nonartifacted signals. To develop a classifier, a total of eleven spectral, temporal, and nonlinear features were calculated from EHG signal windows from 12 women in the first stage of labor that had previously been classified by experts. The combination of characteristics that led to the highest degree of accuracy in detecting artifacts was then determined. The results showed that it is possible to obtain automatic detection of motion artifacts in segmented EHG recordings with a precision of 92.2\% using only seven features. The proposed algorithm and classifier together compose a useful tool for analyzing EHG signals and would help to promote clinical applications of this technique.
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 6415156
zbMATH Keywords: electrohysterography
zbMATH Keywords: motion artifacts identification
zbMATH Keywords: uterine contractions
MaRDI profile type: Publication
Wikidata QID: Q37551402
full work available at URL: https://doi.org/10.1155/2014/470786
OpenAlex ID: W2074010434
description: scientific article